Literature DB >> 27939697

Genetic and functional analysis of TBK1 variants in Korean patients with sporadic amyotrophic lateral sclerosis.

Young-Eun Kim1, Ki-Wook Oh2, Min-Young Noh2, Minyeop Nahm3, Jinseok Park2, Su Min Lim3, Ja-Hyun Jang1, Eun-Hae Cho1, Chang-Seok Ki4, Seungbok Lee5, Seung Hyun Kim6.   

Abstract

The TANK-binding kinase 1 (TBK1) gene has recently been identified as a novel causative gene of amyotrophic lateral sclerosis (ALS). This study aims to determine the frequency and spectrum of TBK1 variants and their functional implications in Korean patients with sporadic ALS (sALS). TBK1 sequences were analyzed in 129 consecutive patients with sALS using either multigene panel or exome sequencing. One frameshift (c.1414delA) and 3 missense variants of uncertain significance in TBK1 were found in 4 patients each. In vitro functional studies revealed that the c.1414delA (p.Ile472Serfs*8) variant was associated with reduced mRNA expression of TBK1. Moreover, protein expression of this variant in patient-derived fibroblasts disrupted binding to autophagy adapter proteins and inhibited the function of TBK1 in HEK293T cells. In contrast, the 3 other missense variants of uncertain significance showed normal mRNA expression and no abnormalities in protein function. Based on these findings, the frequency of pathogenic TBK1 variants in Korean sALS patients was estimated to be 0.8% (1/129). In conclusion, pathogenic variants in TBK1 are rare but could be responsible for sALS in a small number of Korean patients.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Gene; Pathogenic; TBK1; Variant

Mesh:

Substances:

Year:  2016        PMID: 27939697     DOI: 10.1016/j.neurobiolaging.2016.11.003

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  6 in total

Review 1.  Autophagy in neurodegenerative diseases: pathogenesis and therapy.

Authors:  Fang Guo; Xinyao Liu; Huaibin Cai; Weidong Le
Journal:  Brain Pathol       Date:  2017-08-06       Impact factor: 6.508

2.  Genome-wide analyses as part of the international FTLD-TDP whole-genome sequencing consortium reveals novel disease risk factors and increases support for immune dysfunction in FTLD.

Authors:  Cyril Pottier; Yingxue Ren; Ralph B Perkerson; Matt Baker; Gregory D Jenkins; Marka van Blitterswijk; Mariely DeJesus-Hernandez; Jeroen G J van Rooij; Melissa E Murray; Elizabeth Christopher; Shannon K McDonnell; Zachary Fogarty; Anthony Batzler; Shulan Tian; Cristina T Vicente; Billie Matchett; Anna M Karydas; Ging-Yuek Robin Hsiung; Harro Seelaar; Merel O Mol; Elizabeth C Finger; Caroline Graff; Linn Öijerstedt; Manuela Neumann; Peter Heutink; Matthis Synofzik; Carlo Wilke; Johannes Prudlo; Patrizia Rizzu; Javier Simon-Sanchez; Dieter Edbauer; Sigrun Roeber; Janine Diehl-Schmid; Bret M Evers; Andrew King; M Marsel Mesulam; Sandra Weintraub; Changiz Geula; Kevin F Bieniek; Leonard Petrucelli; Geoffrey L Ahern; Eric M Reiman; Bryan K Woodruff; Richard J Caselli; Edward D Huey; Martin R Farlow; Jordan Grafman; Simon Mead; Lea T Grinberg; Salvatore Spina; Murray Grossman; David J Irwin; Edward B Lee; EunRan Suh; Julie Snowden; David Mann; Nilufer Ertekin-Taner; Ryan J Uitti; Zbigniew K Wszolek; Keith A Josephs; Joseph E Parisi; David S Knopman; Ronald C Petersen; John R Hodges; Olivier Piguet; Ethan G Geier; Jennifer S Yokoyama; Robert A Rissman; Ekaterina Rogaeva; Julia Keith; Lorne Zinman; Maria Carmela Tartaglia; Nigel J Cairns; Carlos Cruchaga; Bernardino Ghetti; Julia Kofler; Oscar L Lopez; Thomas G Beach; Thomas Arzberger; Jochen Herms; Lawrence S Honig; Jean Paul Vonsattel; Glenda M Halliday; John B Kwok; Charles L White; Marla Gearing; Jonathan Glass; Sara Rollinson; Stuart Pickering-Brown; Jonathan D Rohrer; John Q Trojanowski; Vivianna Van Deerlin; Eileen H Bigio; Claire Troakes; Safa Al-Sarraj; Yan Asmann; Bruce L Miller; Neill R Graff-Radford; Bradley F Boeve; William W Seeley; Ian R A Mackenzie; John C van Swieten; Dennis W Dickson; Joanna M Biernacka; Rosa Rademakers
Journal:  Acta Neuropathol       Date:  2019-02-09       Impact factor: 17.088

3.  The NGS technology for the identification of genes associated with the ALS. A systematic review.

Authors:  Valentina Pecoraro; Jessica Mandrioli; Chiara Carone; Adriano Chiò; Bryan J Traynor; Tommaso Trenti
Journal:  Eur J Clin Invest       Date:  2020-05-19       Impact factor: 5.722

Review 4.  Association of the TBK1 mutation p.Ile334Thr with frontotemporal dementia and literature review.

Authors:  Huiling Yu; Wenbo Yu; Su-Shan Luo; Yu-Jie Yang; Feng-Tao Liu; Yue Zhang; Yan Chen; Yi-Min Sun; Jian-Jun Wu
Journal:  Mol Genet Genomic Med       Date:  2019-01-22       Impact factor: 2.183

5.  High-Throughput Genetic Testing in ALS: The Challenging Path of Variant Classification Considering the ACMG Guidelines.

Authors:  Serena Lattante; Giuseppe Marangi; Paolo Niccolò Doronzio; Amelia Conte; Giulia Bisogni; Marcella Zollino; Mario Sabatelli
Journal:  Genes (Basel)       Date:  2020-09-24       Impact factor: 4.096

6.  ALS-associated missense and nonsense TBK1 mutations can both cause loss of kinase function.

Authors:  Martina de Majo; Simon D Topp; Bradley N Smith; Agnes L Nishimura; Han-Jou Chen; Athina Soragia Gkazi; Jack Miller; Chun Hao Wong; Caroline Vance; Frank Baas; Anneloor L M A Ten Asbroek; Kevin P Kenna; Nicola Ticozzi; Alberto Garcia Redondo; Jesús Esteban-Pérez; Cinzia Tiloca; Federico Verde; Stefano Duga; Karen E Morrison; Pamela J Shaw; Janine Kirby; Martin R Turner; Kevin Talbot; Orla Hardiman; Jonathan D Glass; Jacqueline de Belleroche; Cinzia Gellera; Antonia Ratti; Ammar Al-Chalabi; Robert H Brown; Vincenzo Silani; John E Landers; Christopher E Shaw
Journal:  Neurobiol Aging       Date:  2018-06-25       Impact factor: 5.133

  6 in total

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